Qwen3.8-27B-Turkish-CPT-GGUF – AI Model by UgurI | AlphaNeural AI

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UgurI/
Qwen3.8-27B-Turkish-CPT-GGUF

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continued-pretraining

text-generation

Qwen/Qwen3.8-27B

cc-by-nc-sa-4.0

endpoints_compatible

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Qwen3.8-27B-Turkish-CPT-GGUF (Q4_K_M)

GGUF quantizations for Qwen3.8-27B-Turkish-CPT, adapted for high-quality Turkish comprehension, reasoning, and instruction following.

Model Description

Base Model: Qwen/Qwen3.8-27B (Text-only causal LM backbone)
Quantization: Q4_K_M (15.41 GB, 4.92 BPW)
Context Length: Up to 262,144 tokens
Compatibility: Ollama, LM Studio, llama.cpp, Jan, OpenWebUI

Available Quantizations

File	Quant Method	File Size	Description
`Qwen3.8-27B-Turkish-CPT-Q4_K_M.gguf`	`Q4_K_M`	15.41 GB	Recommended balance of speed, memory (~18 GB VRAM/RAM), and Turkish accuracy

Benchmark & Exam Performance

Metric	Base Model (Qwen3.8-27B)	Turkish-CPT-GGUF	Improvement
Turkish Validation Perplexity	7.5838	6.9360	-8.55%
Turkish Test Perplexity	8.0534	7.3303	-8.98%
TurkishMMLU (90-Q Stratified)	60.00%	75.56%	+15.56%
Belebele Reading Comprehension (TR)	83.33%	90.00%	+6.67%
Belebele Reading Comprehension (EN)	96.67%	96.67%	100% Retained

Quick Start with Ollama

Download the Qwen3.8-27B-Turkish-CPT-Q4_K_M.gguf and Modelfile files.
In your terminal, run:
bash
1ollama create qwen3.8-turkish -f Modelfile 2ollama run qwen3.8-turkish

Quick Start with LM Studio / llama.cpp

Place Qwen3.8-27B-Turkish-CPT-Q4_K_M.gguf into your LM Studio models directory.
Or run directly with llama-cli:
llama-cli -m Qwen3.8-27B-Turkish-CPT-Q4_K_M.gguf -p "Türkiye'de yenilenebilir enerji kaynaklarının önemi nedir?" -n 256

Citation & Attribution

Training Corpus: VNGRS-AI (vngrs-ai/vngrs-web-corpus)
Base Model: Qwen Team (Qwen/Qwen3.8-27B)
Author: Ugur Inanc